Speech Software Engineer

ASAPP is hiring a Senior Speech Software Engineer to develop and optimize speech intelligence and infrastructure for its real-time voice AI platform. The role focuses on improving ASR and TTS quality, latency, and reliability while building scalable voice systems and collaborating across research, infrastructure, security, and product teams.

Responsibilities:

• Tune and optimize ASR and TTS models for real-world call center environments, improving transcription accuracy, noise robustness, and speaker variability
• Improve spoken output naturalness by refining prosody, pacing, number and spelling pronunciation, and conversational flow
• Balance latency vs. quality tradeoffs in streaming speech pipelines to maintain real-time responsiveness
• Evaluate and integrate emerging speech technologies (e.g., noise suppression, voice activity detection, diarization) to measurably improve performance
• Architect and modernize a scalable, high-availability voice infrastructure that replaces legacy systems
• Build multi-threaded, low-latency server frameworks capable of handling thousands of concurrent real-time audio streams
• Design and operate streaming ASR → LLM → TTS pipelines that power live AI-driven customer conversations
• Develop robust media stream handling to ensure reliable audio flow between telephony providers, clients, and ML services
• Define and implement speech quality evaluation frameworks, including WER/CER analysis, latency tracking, and perceptual TTS metrics
• Build tooling and dashboards to monitor production performance and detect regressions in accuracy, latency, or naturalness
• Create load-testing and simulation tools to model high-concurrency, real-world voice traffic
• Partner with Speech Scientists and ML Researchers to productionize new ASR and TTS models
• Work with Security and Compliance teams to ensure voice data handling meets enterprise and regulatory standards
• Collaborate with Product teams to translate conversational quality requirements into measurable system improvements